Compare Lenses and Spark Streaming 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (40.5% of reviews)
Entry-Level Pricing
Free
No pricing available
Lenses
Star Rating
(17)4.2 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 3 pricing plansSpark Streaming
Star Rating
(40)4.2 out of 5
Market Segments
Mid-Market (40.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Spark StreamingLenses vs Spark Streaming
When assessing the two solutions, reviewers found Lenses easier to use and administer. However, reviewers felt that the products are equally easy to set up, and both vendors make it equally easy to do business overall.
- Reviewers felt that Spark Streaming meets the needs of their business better than Lenses.
- When comparing quality of ongoing product support, reviewers felt that Spark Streaming is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Spark Streaming over Lenses.
Pricing
Entry-Level Pricing
Lenses
Community Edition
Free
Run it now, for free, forever. Connect it to up to 2 Kafka clusters or your local instance.
- Full observability features
- Supports all kafka vendors
- 2 user accounts
Spark Streaming
No pricing availableFree Trial
Lenses
Free Trial is available
Spark Streaming
No trial information availableRatings
Meets Requirements
8.2
13
9.0
29
Ease of Use
9.4
14
8.2
29
Ease of Setup
7.6
11
7.6
9
Ease of Admin
8.8
11
8.0
9
Quality of Support
7.4
14
8.7
26
Has the product been a good partner in doing business?
8.5
10
8.5
9
Product Direction (% positive)
5.5
13
9.3
32
Features by Category
Data Masking
8.6
6
Not enough data
8.3
5
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
7.7
5
Not enough data
Data
7.7
5
9.2
28
Not enough data
9.0
27
7.7
5
8.8
27
8.0
5
9.0
28
Analytics
8.3
5
8.8
28
Administration
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Issue Resolution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AIOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Processing
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Lenses and Spark Streaming are categorized as Event Stream Processing
Unique Categories
Lenses is categorized as DataOps Platforms, Data Governance, Data Masking, Big Data Integration Platforms, Stream Analytics, Data Observability, ETL Tools, AIOps Platforms, and Big Data Processing and Distribution
Spark Streaming has no unique categories
Reviews
Reviewers' Company Size
Lenses
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Spark Streaming
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Retail
12.5%
Human Resources
12.5%
Banking
12.5%
Consulting
6.3%
Transportation/Trucking/Railroad
6.3%
Other
50.0%
Information Technology and Services
21.6%
Computer Software
18.9%
Telecommunications
8.1%
Education Management
8.1%
Financial Services
8.1%
Other
35.1%
Alternatives
Discussions
Lenses has no discussions with answers
Spark Streaming has no discussions with answers
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